Helios AI
AI-driven platform providing supply, climate, and price forecasting for soft commodities to procurement and trading teams.
Website: https://www.helios.sc/
The Company in Brief
Helios AI incorporated in 2022, emerging from the Washington, D.C. area with a focus on applying machine learning to a historically opaque and volatile sector: agricultural commodity trading. The company's founding premise was that procurement teams and traders needed a unified view of climate and economic risks to make better purchasing decisions. Its operational headquarters are listed at 1775 Tysons Boulevard in Tysons, Virginia [Crunchbase].
The founding team consists of CEO Francisco Martin-Rayo and CTO Eden Canlilar. Martin-Rayo's background includes roles at Deep Labs and Boston Consulting Group, while Canlilar previously worked as an AI/ML engineer at Google and was a recipient of the 2021 Emerging Technologist Abie Award [Integrity Research, 2026]. The company's first major public milestone was the detailed presentation of its platform capabilities in March 2024, forecasting for 75 commodities across 90 countries [YouTube, March 2024]. This was followed by the launch of its Helios 2.0 AI platform and the announcement of a partnership with Walmart in 2026 [Helios AI, Blog] [The Packer, 2026]. A significant financial milestone was reached in September 2025 with the closing of a $4.7 million Series A round [The Company Check, 2025].
Data Accuracy: YELLOW -- Core facts (founding year, HQ, founders, recent funding round) are confirmed by multiple sources, but some biographical details are sourced from a single research publication.
What They Have Built
The core of Helios AI's proposition is a suite of decision-support tools that attempt to synthesize disparate risk signals into actionable commodity forecasts. The company's public materials describe a platform that aggregates billions of data points to provide a real-time view of climate and economic risks affecting soft commodities across 90 countries [YouTube, March 2024]. The primary interface appears to be Helios Horizon, which the company has branded as the first-ever AI Copilot for agri-food supply chains [citybiz, 2025]. In a 2024 demonstration, a company representative framed the system as a multi-agent AI, where specialized modules for climate, economic, news, and geopolitical risk can be queried to generate specific purchasing recommendations [YouTube, March 2024].
Beyond the interactive copilot, the company offers two other named products. The CommodiTrack Platform and Global Commodity Reports provide more structured outputs. The reports are claimed to predict large shifts in futures prices for exchange-traded commodities weeks to months in advance with up to 90% accuracy [Helios AI, Global Commodity Reports, 2026]. A key performance claim is that Helios AI's price forecasts are up to 5 times more accurate than current industry benchmarks [Food Ingredients First, 2026]. The platform's scope is defined by coverage of 75 agricultural commodities [YouTube, March 2024].
Technical details on the underlying model architecture or data pipelines are not publicly disclosed. A recent job posting sought a Lead Frontend Engineer with experience in Next.js, React, and TypeScript, indicating a modern, web-based application stack [Helios-RS, 2026]. The company has also announced a partnership with Walmart [The Packer, 2026].
Data Accuracy: YELLOW -- Product features and claims are sourced from company demonstrations and press, but key performance metrics are unverified. Technical stack is partially inferred.
Market Size and Demand
The market for agricultural intelligence is expanding as climate volatility and supply chain fragility force procurement teams to seek more sophisticated, forward-looking tools. The global market for agricultural analytics was valued at $1.2 billion in 2022 and is projected to grow at a compound annual rate of 16.5% through 2032 [Allied Market Research, 2023]. A comparable report on the precision agriculture market estimates a total addressable market of $9.8 billion by 2027, growing from $6.3 billion in 2022 [MarketsandMarkets, 2022].
| Metric | Value |
|---|---|
| Agricultural Analytics Market 2022 | $1.2B |
| Precision Agriculture Market 2022 | $6.3B |
| Precision Agriculture Market 2027 | $9.8B |
Data Accuracy: YELLOW -- Market sizing is based on analogous, broader industry reports, not a dedicated analysis of the forecasting niche.
Who Else Is Fighting for This
Helios AI's positioning is defined by its attempt to integrate climate and price forecasting for soft commodities into a single, queryable interface.
| Company | Positioning | Stage / Funding | Notable Differentiator |
|---|---|---|---|
| Helios AI | AI-driven supply, climate, and price forecasting. | Series A (~$4.7M) | Multi-agent AI interface (Helios Horizon). |
| ClimateAI | Climate resilience and risk analytics. | Series B ($22M) | Deep specialization in climate modeling. |
| Cropin | AI and data-led agriculture intelligence. | Growth stage ($92M+) | Broad platform with farm-level digitization. |
Data Accuracy: YELLOW -- Competitor funding and positioning are confirmed via Crunchbase; Helios AI's differentiators are sourced from its own materials.
Opportunity
The headline opportunity is for Helios AI to evolve from a specialized forecasting tool into the category-defining platform for global soft commodity risk management. The company's early positioning as the first to integrate climate and price forecasting for agriculture into a single interface [YouTube, March 2024] provides a foundational wedge. The partnership with Walmart [The Packer, 2026] serves as a critical proof point.
Data Accuracy: YELLOW -- Growth scenarios are plausible extrapolations based on cited product capabilities and one named partnership.
Articles about Helios AI
- Helios AI's Walmart Deal Tests a Copilot for the Global Strawberry Patch — The $4.7 million Series A funds a push to combine climate and price forecasts for 75 commodities, aiming to replace spreadsheets and gut calls.